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Field
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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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- 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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of Project Management, but will work closely with interdisciplinary teams across the Management and Organisation Sciences, Social Sciences, Urban Studies, Engineering, and Computer Science to advance research